OpenML
2863

Run 2863

Task 1711 (Learning Curve) mfeat-factors Uploaded 28-04-2014 by Jan van Rijn
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Flow

weka.IBk(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9795 ± 0.0052
Per class
F measure
0.963 ± 0.0097
Per class
Kappa
0.9589 ± 0.0105
KB relative information score
0.9592 ± 0.0099
Mean absolute error
0.0084 ± 0.0019
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.963 ± 0.0096
Per class
Predictive accuracy
0.963 ± 0.0095
Prior entropy
3.3219
Recall
0.963 ± 0.0095
Per class
Relative absolute error
0.0464 ± 0.0105
Root mean prior squared error
0.3
Root mean squared error
0.0858 ± 0.0114
Root relative squared error
0.286 ± 0.0381
SciMark benchmark
846.6443